globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.tree.2019.03.004
WOS记录号: WOS:000472994700009
论文题名:
An Ecological Framework for Modeling the Geography of Disease Transmission
作者: Johnson, Erica E.1,3,4; Escobar, Luis E.2; Zambrana-Torrelio, Carlos1
通讯作者: Zambrana-Torrelio, Carlos
刊名: TRENDS IN ECOLOGY & EVOLUTION
ISSN: 0169-5347
EISSN: 1872-8383
出版年: 2019
卷: 34, 期:7, 页码:655-668
语种: 英语
WOS关键词: SPECIES DISTRIBUTION MODELS ; BIOTIC INTERACTIONS ; CLIMATE-CHANGE ; SMALL MAMMALS ; NICHE ; HOST ; VIRUS ; RISK ; COINFECTION ; COMMUNITIES
WOS学科分类: Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS研究方向: Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity
英文摘要:

Ecological niche modeling (ENM) is widely employed in ecology to predict species' potential geographic distributions in relation to their environmental constraints and is rapidly becoming the gold-standard method for disease risk mapping. However, given the biological complexity of disease systems, the traditional ENM framework requires reevaluation. We provide an overview of the application of ENM to disease systems and propose a theoretical framework based on the biological properties of both hosts and parasites to produce reliable outputs resembling disease system distributions. Additionally, we discuss the differances between biological considerations when implementing ENM for distributional ecology and epidemiology. This new framework will help the field of disease ecology and applications of biogeography in the epidemiology of infectious diseases.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/142622
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.EcoHlth Alliance, 460 W 34th St, New York, NY 10001 USA
2.Virginia Tech, Dept Fish & Wildlife Conservat, Blacksburg, VA USA
3.CUNY City Coll, Dept Biol, 138Th St & Convent Ave, New York, NY 10031 USA
4.CUNY, Grad Ctr, New York, NY 10016 USA

Recommended Citation:
Johnson, Erica E.,Escobar, Luis E.,Zambrana-Torrelio, Carlos. An Ecological Framework for Modeling the Geography of Disease Transmission[J]. TRENDS IN ECOLOGY & EVOLUTION,2019-01-01,34(7):655-668
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